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### 📚 The doc issue
`RNN`'s docstring provides a Python implementation of a forward pass. This was added in https://github.com/pytorch/pytorch/pull/119150 (resolving https://github.com/pytorch/pytorc…
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I want to use Maix board for some time series data analysis. Is there any plan to add RNN layers such as LSTM to MaixPy? That would be great.
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```
class MyModel(tf.keras.Model):
def __init__(self, vocab_size, embedding_dim, rnn_units):
super().__init__(self)
self.embedding = tf.keras.layers.Embedding(vocab_size, embedding_dim)
…
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Description
This feature aims to implement a Recurrent Neural Network (RNN) model to classify eye diseases from medical images. The model will be trained to identify various eye conditions such as …
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With the current Flux RNN design, where each data batch is a Vector of `length = seq_length` and whose elements are of size `[features, batch_size]`, I'm afraid it misses some performance opportunitie…
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### 🐛 Describe the bug
```torch.onnx.errors.SymbolicValueError: ONNX symbolic expected the output of `%2212 : Tensor = onnx::Squeeze(%2186, %2211), scope: SimpleLSTMNet::/torch.ao.nn.quantized.modu…
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This is likely due to Keras version changes. Currently using Keras 3.2.1 with Tensorflow 2.16.1.
So far, I've changed the following in `layers.py`:
`from keras.src.layers.rnn.dropout_rnn_cell_mi…
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@BriansIDP Hi~ Firstly, appreciate your kindly sharing. I have some questions about this implementation, and hope for your replies.
1. I notice that the default "layerlist" is "0", and I wonder if …
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## 🚀 Feature
Allow variable intermediate hidden dimensions for stacked RNN/GRU/LSTM layers.
## Motivation
As it is right now, even thought I can specify `num_layers` to be greater than 1 to…
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I am following the example set in the README, and I am getting the following error. Is this familiar to anyone?
```
In [1]: from pase.models.frontend import wf_builder …
delip updated
2 months ago